TabuVis : a tool for visual analytics multidimensional datasets

Quang Vinh Nguyen, Yu Qian, MaoLin Huang, JiaWan Zhang

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    This paper describes TabuVis, a light weight visual analytics system that provides a flexible, customizable and effective visualization for multidimensional data. Key aspects for visually analyzing data with multiple attributes are quality and appropriateness of the analytical platform whose presentation can be adjusted via domain experts. Our commercial-free and comprehensive prototype utilizes scatter-plot approach to support the visual analytics process. The system consists of multiple components enabling the complete analysis process, including data processing, automatic marks, customizable interactive visualization and filtering. We demonstrate the effectiveness of TabuVis on various case studies using medical and Oscars datasets.
    Original languageEnglish
    Pages (from-to)1-12
    Number of pages12
    JournalScience China Information Sciences
    Volume56
    Issue number5
    DOIs
    Publication statusPublished - 2013

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